AI Developer – Microsoft Azure & Full Stack DevelopmentWe are seeking a highly skilled and hands-on AI Developer with strong experience in Microsoft Azure cloud services and full-stack application development. You will be responsible for designing, developing, and deploying AI-driven applications that integrate with cloud infrastructure and deliver seamless end-to-end solutions. This is a technical, cross-functional role that combines expertise in artificial intelligence, software engineering, and DevOps.Key Responsibilities:Design and implement scalable AI/ML solutions using Azure services (Azure ML, Cognitive Services, Azure Functions, etc.)Develop and deploy end-to-end full-stack applications using modern frameworks (React, Angular, .NET Core, Node.js, etc.)Integrate AI models into production systems with considerations for scalability, performance, and maintainabilityCollaborate with data scientists, backend engineers, and DevOps teams to operationalize machine learning modelsAutomate training, testing, and deployment pipelines using Azure DevOps, CI/CD, and MLOps practicesMonitor and troubleshoot AI systems in production environmentsDocument architectural decisions, data flows, and system interfacesStay up-to-date with emerging trends in AI, machine learning, and cloud technologiesRequired Skills and Qualifications:Bachelor's or Master's in Computer Science, Engineering, or a related field3+ years of hands-on AI/ML development experienceProficient with Azure cloud services (Azure ML, Data Factory, Blob Storage, Logic Apps, Azure Kubernetes Service)Strong programming skills in Python and/or C#, with experience in TensorFlow, PyTorch, or scikit-learnFull stack development expertise in both frontend (e.g., React, Angular) and backend (e.g., Node.js, .NET Core) frameworksSolid understanding of REST APIs, GraphQL, and microservices architectureExperience with DevOps tools (Azure DevOps, GitHub Actions, Docker, Kubernetes)Familiarity with MLOps tools and concepts for model lifecycle managementExcellent problem-solving and communication skillsPreferred Qualifications:Microsoft Certified: Azure AI Engineer Associate or Azure Developer AssociateExperience with LLMs and generative AI integration (e.g., OpenAI, Azure OpenAI Service)Background in data engineering or business intelligenceExperience with Agile/Scrum methodologies